DATA SCIENTIST / ML ENGINEER (F/M/D)
Core
Develop data-driven and machine-learning solutions for renewable energy generation, forecasting, asset performance, and optimization.
Role type
Senior IC machine-learning engineer (renewable energy)
Builds
Predictive models for energy generation, anomaly detection, and optimization for wind, solar, and battery storage.
Domain
Renewable energy / Energy sector
Deliverable
production ML models
Required skills
Python, pandas, NumPy, scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow, time-series forecasting, anomaly detection, feature engineering, model validation, data pipeline development, cloud platforms (Azure, GCP, AWS, Databricks)
Preferred skills
Renewable energy domain knowledge, weather forecasting datasets, geospatial data, GIS, satellite imagery, SCADA data
Technologies
Python, pandas, NumPy, scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow, Azure, Google Cloud, AWS, Databricks, Microsoft Fabric
Responsibilities
Develop forecasting and ML solutions for renewable energy use cases; Build models for energy generation forecasting; Identify anomalies and maintenance needs in energy assets; Explore optimization opportunities; Collect and validate large volumes of structured and unstructured data; Create prototypes and MVPs; Collaborate with cross-functional teams.
Seniority
Senior, hands-on IC
